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arXiv 2302.02683astro-ph.COastro-ph.IM
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缓解1/f噪声对单碟测量HI强度映射功率谱探测的影响

Mitigating the effect of 1/f noise on the detection of the HI intensity mapping power spectrum from single-dish measurements

Melis O. Irfan, Yichao Li, Mario G. Santos, Philip Bull, Junhua Gu, Steven Cunnington, Keith Grainge, Jingying Wang

AI总结:

针对MeerKLASS巡天HI强度映射中的1/f噪声问题,研究评估了SVD去噪、全噪声协方差加权成图等方法的效果,为提升单碟HI功率谱探测精度提供了方案。

摘要:

我们提出并对比了多种缓解MeerKAT大区域巡天(MeerKLASS)的HI强度映射分量中时间相关(1/f)噪声的方法。通过模拟扫描策略、HI信号、前景辐射、白噪声与相关噪声,我们评估了各类数据处理管线恢复HI亮温涨落功率谱的能力。我们利用MeerKAT先导数据评估MeerKLASS巡天预期的1/f噪声水平,并基于这些测量结果为模拟生成符合实际的时间相关噪声水平。我们发现,在k = 0.04 Mpc^-1的尺度上,先导数据中的时间相关噪声分量比白噪声水平高10到20倍。在确定MeerKAT的1/f噪声在所有频率通道间存在部分相关性后,我们采用奇异值分解(SVD)技术同时去除1/f噪声和银河前景,但发现过度清理会导致大尺度(角向和径向)的HI功率被移除;在k = 0.04 Mpc^-1尺度下,3模SVD清理会造成40%的功率损失。我们对比了采用全噪声协方差(即包含1/f分量)加权的成图方法与简单未加权分组成图方法的影响,发现纳入时间相关噪声信息可将1/f噪声引入的额外功率最多降低30%。

英文摘要:

We present and compare several methods to mitigate time-correlated (1/f) noise within the HI intensity mapping component of the MeerKAT Large Area Synoptic Survey (MeerKLASS). By simulating scan strategies, the HI signal, foreground emissions, white and correlated noise, we assess the ability of various data processing pipelines to recover the power spectrum of HI brightness temperature fluctuations. We use MeerKAT pilot data to assess the level of 1/f noise expected for the MeerKLASS survey and use these measurements to create realistic levels of time-correlated noise for our simulations. We find the time-correlated noise component within the pilot data to be between 10 and 20 times higher than the white noise level at the scale of k = 0.04 Mpc^-1. Having determined that the MeerKAT 1/f noise is partially correlated across all the frequency channels, we employ Singular Value Decomposition (SVD) as a technique to remove both the 1/f noise and Galactic foregrounds but find that over-cleaning results in the removal of HI power at large (angular and radial) scales; a power loss of 40 per cent is seen for a 3-mode SVD clean at the scale of k = 0.04 Mpc^-1. We compare the impact of map-making using weighting by the full noise covariance (i.e. including a 1/f component), as opposed to just a simple unweighted binning, finding that including the time-correlated noise information reduces the excess power added by 1/f noise by up to 30 per cent.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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